

from __future__ import annotations



def   __UpperCAmelCase					(      __a :     list[int]						,__a :     int						,__a :     int						,__a :     int      )     ->	None:

					"""simple docstring"""

					if (direction == 1 and array[indexa] > array[indexa]) or (
					    direction == 0 and array[indexa] < array[indexa]
					):
										_a      :       int   =						array[indexa], array[indexa]



def   __UpperCAmelCase					(      __a :     list[int]						,__a :     int						,__a :     int						,__a :     int      )     ->	None:

					"""simple docstring"""

					if length > 1:
										_a      :       Union[str, Any]   =						int(length / 2      )
										for i in range(_lowerCamelCase						,low + middle      ):
															comp_and_swap(_lowerCamelCase						,_lowerCamelCase						,i + middle						,_lowerCamelCase      )
										bitonic_merge(_lowerCamelCase						,_lowerCamelCase						,_lowerCamelCase						,_lowerCamelCase      )
										bitonic_merge(_lowerCamelCase						,low + middle						,_lowerCamelCase						,_lowerCamelCase      )



def   __UpperCAmelCase					(      __a :     list[int]						,__a :     int						,__a :     int						,__a :     int      )     ->	None:

					"""simple docstring"""

					if length > 1:
										_a      :       List[str]   =						int(length / 2      )
										bitonic_sort(_lowerCamelCase						,_lowerCamelCase						,_lowerCamelCase						,1      )
										bitonic_sort(_lowerCamelCase						,low + middle						,_lowerCamelCase						,0      )
										bitonic_merge(_lowerCamelCase						,_lowerCamelCase						,_lowerCamelCase						,_lowerCamelCase      )


if __name__ == "__main__":
			a__												=						input('''Enter numbers separated by a comma:\n''').strip()
			a__												=						[int(item.strip()) for item in user_input.split(''',''')]

			bitonic_sort(unsorted, 0, len(unsorted), 1)
			print('''\nSorted array in ascending order is: ''', end='''''')
			print(*unsorted, sep=''', ''')

			bitonic_merge(unsorted, 0, len(unsorted), 0)
			print('''Sorted array in descending order is: ''', end='''''')
			print(*unsorted, sep=''', ''')





from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def   _lowerCamelCase							(   self						:Tuple	,  a						:float		)						->					float:
								return 0.0




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     np.ndarray		,    _lowerCamelCase					:     int)   ->       tuple[int | float, int | float]:






							'''simple docstring'''





							__UpperCamelCase      :  List[str]       =   min([-20, np.min(fft_results[1 : samplerate // 2 - 1])])
							__UpperCamelCase      :  Any       =   max([20, np.max(fft_results[1 : samplerate // 2 - 1])])
							return lowest, highest




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     FilterType		,    _lowerCamelCase					:     int)   ->       None:






							'''simple docstring'''





							__UpperCamelCase      :  List[str]       =   512
							__UpperCamelCase      :  List[Any]       =   [1] + [0] * (size - 1)
							__UpperCamelCase      :  List[Any]       =   [filter_type.process(_lowerCamelCase) for item in inputs]

							__UpperCamelCase      :  Optional[Any]       =   [0] * (samplerate - size)  # zero-padding
							outputs += filler
							__UpperCamelCase      :  Optional[int]       =   np.abs(np.fft.fft(_lowerCamelCase))
							__UpperCamelCase      :  Optional[int]       =   20 * np.logaa(_lowerCamelCase)

							# Frequencies on log scale from 24 to nyquist frequency
							plt.xlim(24		,    samplerate / 2 - 1)
							plt.xlabel("Frequency (Hz)")
							plt.xscale("log")

							# Display within reasonable bounds
							__UpperCamelCase      :  Optional[Any]       =   get_bounds(_lowerCamelCase		,    _lowerCamelCase)
							plt.ylim(max([-80, bounds[0]])		,    min([80, bounds[1]]))
							plt.ylabel("Gain (dB)")

							plt.plot(_lowerCamelCase)
							plt.show()




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     FilterType		,    _lowerCamelCase					:     int)   ->       None:






							'''simple docstring'''





							__UpperCamelCase      :  Any       =   512
							__UpperCamelCase      :  Dict       =   [1] + [0] * (size - 1)
							__UpperCamelCase      :  Tuple       =   [filter_type.process(_lowerCamelCase) for item in inputs]

							__UpperCamelCase      :  Dict       =   [0] * (samplerate - size)  # zero-padding
							outputs += filler
							__UpperCamelCase      :  Optional[int]       =   np.angle(np.fft.fft(_lowerCamelCase))

							# Frequencies on log scale from 24 to nyquist frequency
							plt.xlim(24		,    samplerate / 2 - 1)
							plt.xlabel("Frequency (Hz)")
							plt.xscale("log")

							plt.ylim(-2 * pi		,    2 * pi)
							plt.ylabel("Phase shift (Radians)")
							plt.plot(np.unwrap(_lowerCamelCase		,    -2 * pi))
							plt.show()